Data analytics is not just for day-to-day business intelligence. These days, pretty much every business has some form of data analytics software. If your organization has embraced data democratization, you are probably encouraging business users to use BI analytics and, hopefully, your senior executives, middle managers and data scientists are using these BI analytics tools for strategic initiatives, as well.
Plug & Play Predictive Analytics is not an exotic process that is limited to data scientists or IT staff. Plug & play predictive analysis is so named because it really is a plug and play process. This type of predictive analytics tool is designed to be accessible and usable by business users.
Technology is tough! How do you do it all? Even if you are a technology company or a technology consulting firm, you will find that you have to focus on one or a few core competencies if you want to ensure that you have the latest skills and knowledge in that one area or in a few areas or about a few products or services (if you are lucky).
The telecommunications industry is complex and requires attention to numerous factors including security compliance, industry standards, customer satisfaction, market competition, technology evolution, staffing, and more. Business intelligence for telecom allows the organization and its business users to access data integrated from disparate sources and to use analytics for telecommunication to leverage out-of-the-box features including sophisticated, advanced data discovery tools that are easy enough for every business user to adopt and utilize.
Smart data visualization tools should include augmented data discovery with features that guide and show business users how to get the most out of data and how to display that data in a way that will make decision-making and analysis as easy as drag and drop. Data visualization does not have to be complicated, nor does it require software or features that take months to learn and master.
Every business faces the challenge of managing and using data in a way that is meaningful, accurate and easy for users. To meet objectives, plan strategies and analyze information, the average enterprise must juggle best-of-breed, legacy systems, and many other data repositories that sometimes seem to hide data from even the most gifted analysts and IT staff members.
Every industry today seems to have recognized the need for business intelligence and analytics. Analytics for hospitality and analytics for the entertainment industry are burgeoning areas of growth for business intelligence.
Augmented analytics can help your business users to find and understand critical data and to do their jobs more effectively. Without the knowledge of a data scientist or an IT professional, business users can perform advanced analytics, using features that guide and make recommendations at every step so that data is prepared, viewed and analyzed in a way that ensures clarity and a comprehensive understanding of trends, patterns, and data sensitivity and success thresholds.
Every enterprise has best-of-breed, enterprise and out-of-the-box software products to help them run the business and organize users and team members. But, when it comes to custom software solutions, the average organization is hard-pressed to get the work done.
If it is to be useful in business, business intelligence must be accessible from within the walls of the business and outside the business. Tablets, smart phones and desktops are all tools that serve your business users every day. Because our society is mobile and because our users are also consumers and expect their business tools to be easy-to-use and intuitive just like the consumer applications they use every day. Mobile business intelligence is not just nice to have, it is crucial in today’s competitive business environment.
